... built CodeBurn because we kept running into the same problem. We run Claude Code, Codex, and Kimi across a few projects, and at some point the usage gets high enough that we want to know what caused it. And that's where things get frustrating. A typical day looks something like: Work normally across a few projects Switch between models and tools depending on the task Hit a usage

... injected into your agent's responses. No throttling free users to make paid feel faster. No markup on your model costs (BYOK means your tokens go to your provider directly, we make $0 on your API usage). No gating basic features behind paywalls. free gets unlimited chat, smart context management, verified skills, Telegram, Slack. Same features as paid, just with usage

... Product Hunt! AI API usage often starts as an individual developer workflow. One person tests a model, writes the integration, and ships a feature. But once a team starts building more AI-powered features, API management becomes a shared problem. Teams need visibility into: - Which models are being used - Where documentation lives - How usage

... Over the past few months, I've noticed that my building habits have changed. When I first started using AI development tools, I would experiment freely, iterate often, and explore different ideas. Now, I find myself thinking about credit usage before I send a prompt or try another approach. Instead of asking, "Is this the best solution?" , I sometimes catch myself asking, "Is this worth spending credits on?" I'm curious if other builders have experienced something similar ... ... usage

... page is what happens when you actually use the tool heavily . The advertised price and the real price diverge fast. The entry tiers look deceptively similar. Cursor Pro and Claude Code's entry tier both sit around $20/month, with usage-based costs layered on top, so on paper they look like a fair fight. But that's the price for light use, not the price that matters once you're running agentic multi-file tasks daily. Heavy users all converge ... ... same number, just from different directions. The top individual tier for Cursor, Claude Code, and Windsurf all land at or near $200/month once you actually need the higher usage

... Been meaning to do this properly instead of just going off gut feeling every time my usage bar turns orange. Pulled together what I could find from benchmarks and my own week of switching between tools, and a few things genuinely surprised me. The efficiency numbers aren't close, and not in the direction I expected. One widely cited test had Claude Code completing an identical multi-file feature task using around 33,000 tokens with zero errors , while Cursor ...

... Yesterday (July 21) I was at around 10% usage, and it said my limit would reset on July 25. Then a few hours later, around 00:11 on July 22, I checked again and somehow my usage

... about something nobody in the proxy industry likes to discuss: how easy it is to blow your budget on proxies without even realizing it. We've been there. Early on, our proxy bill was growing faster than our actual usage, and we couldn't figure out why. After auditing everything and making some changes, we cut costs by roughly 40% while keeping success rates steady. Here's what actually worked: 1. Pick the right pricing model for your usage

... pile of code changed) it gives you a quiet, warm nod: "that was a rough one you pushed right through ". It reads effort, not idle time, never nags, and reads only signals already on your Mac. Real usage that just works in your language, and finally reliable Tamamon shows your actual Claude usage

... higher than what companies currently charge, depending on model size, context length, and infrastructure load. So the market is not really stable yet. It s still in a growth phase, supported by subsidized pricing and scale. And usage is already massive. Most of you probably saw this report: Meta employees reportedly consumed 73.7 trillion AI tokens in a single month , which is estimated to be around $221M per month (~$2.65B per year) in compute cost. That s just ... ... company. Now multiply this across the industry. Even with cheap tokens today, total consumption is already reaching extreme levels. The issue is not only pricing, it s how fast usage

... each one does and when you'd actually use it. 1. Find and Browse Your Brands List all brands   Pulls a full list of your brands with client name and share link for each. Useful when compiling a usage report or checking which clients have active brand links across your library. Search by name   The most common starting point. Say "use the Acme brand" and the agent finds it by name, no ID needed. It handles partial names ... ... counts for any brand and each of its variations. Useful for quarterly brand reviews, client reports, or understanding which logo version is used most. If a variation has had zero downloads in six months, that's worth knowing. Account usage

... Starting June 1st, @Github Copilot moved to a usage-based billing model. Question for engineering leaders after this change: What's your team actually doing about it? Comment from Nolan Vu(@nolan_vu): We saw this coming but it still stings. The predictability of a flat monthly fee was the whole reason we picked Copilot for the team in the first place. Now we're back to having conversations about "who's using too many completions" which is exactly ... ... kind of overhead we were trying to avoid by paying for a tool. For now we're staying on Copilot but watching usage

... live on Product Hunt today with the new Intrascope update. Intrascope started as a BYOK workspace for teams using multiple AI models. Now we re adding managed AI usage as well, so companies can access top AI models without managing separate API keys, vendor accounts or billing dashboards. The goal is simple: Help teams use AI in a more organized way, with permissions, spending limits, usage

... breaking, and so on. - Vaizle - I work with Vaizle, but it has very easily emerged as my fav platform. Not even lying. I can keep track of ad performance, check what competitors are posting on social. And best part is that I can feed it my own website + competitors

... simpler. They want to use AI across the company, but they don t want to manage: API keys Provider accounts Separate billing dashboards Model setup Individual AI subscriptions Scattered chats and lost context So we re adding managed AI usage to Intrascope. With this update, teams will be able to top up their workspace and use premium AI models directly through Intrascope , without setting up their own API keys . The goal is simple: Make AI easier to adopt ... ... range of teams, not only those already familiar with APIs. We re preparing a new Product Hunt launch around this update soon, and I d love to hear your thoughts before we go live. Do you think managed AI usage

... that to a growth marketer. Or an investor. Or even your own team. Every playbook we studied was built around maximizing daily active users, increasing session length, driving habit loops. The entire vocabulary of product growth assumes that more usage = more value. For social media, that might be true. For a wellness product? It's the opposite. We had to throw out the playbook and start from scratch. Here's what we've learned so far: We stopped marketing what ... ... users who come through word-of-mouth stay longer, engage more meaningfully, and genuinely get value from the product. We're still figuring this out. Curious if anyone else is building something where success looks like less usage

... tools hide limits until you hit a wall. We tried to make Oasis usage visible up front. Insight for other users:  The  daily token usage

... backwards. You only knew someone churned after they cancelled. By then, it was too late. So we looked for a leading indicator. One metric that predicted churn before it happened. The data We pulled 18 months of usage data from 1,247 accounts. We looked at every action users took in the 30 days before they cancelled. We compared them to users who stayed. The most predictive signal was not usage

... kept running into the same problem while coding with Claude and Cursor: I could feel usage climbing, but I had no clean way to see the pace in real time until after the damage was done. So I built TokenBar, a small macOS menu bar app that shows live token usage

... model works best for you, depending on the task. Different models have different strengths: some are better for quick iterations, while others excel at complex design challenges. Hover over each model option to see how they compare, including credit usage per generation. Learn how to pick the best model Build your own chatbot We noticed people like designing chatbots. You can now use the Anthropic API directly in Magic Patterns. Use it to create a working chatbot or support other ... ... works out of the box by using Magic Patterns as a Connector within Magic Patterns. Simply connect the Magic Patterns MCP as a Connector , then share any Magic Patterns link in your prompts. Learn more about Cross-Project referencing . Usage

... shipping real AI products in production. One pattern kept surfacing in almost every conversation: Even with better infrastructure, teams still spend a disproportionate amount of engineering time working around access constraints, token windows, rate limits, throughput ceilings, and unpredictable usage caps. Not because the underlying models can't handle the load, but because the access layer was never designed for the way modern AI products actually scale. So we started exploring a different question: What would AI access look like ... ... were designed for sustained, high-throughput usage

... kept testing prompts across Claude and ChatGPT, then checking usage later and realizing I had basically no feel for where the tokens were going. That was the whole reason I built TokenBar for Mac. It sits in the menu bar and shows token usage

... bill shows up after the damage is already done. You can have rate limits, dashboards, and pricing pages open in ten tabs, but none of that helps when you are iterating fast and have no live feel for token usage while you work. That is why I built TokenBar for macOS. It sits in the menu bar and shows token usage

... Last month I got one of those AI invoices that makes you open the usage page and squint. The annoying part was not that I used tokens. It was that I had almost no visibility while I was actually building. I was jumping between apps, prompts, and models, and the cost only became obvious after the damage was done. So I built TokenBar for macOS. It sits in the menu bar and shows token usage

... signs of what we started calling "compulsive checking" opening Murror out of habit rather than intention. That was a turning point for us. We realized that for a product designed to help people reflect on their emotions, daily active usage was not just a vanity metric it was potentially a harmful one. If someone is using Murror every single day, are they building self-awareness or are they developing a dependency on external validation of their feelings? We made ... ... think this connects to a bigger conversation in tech right now: we have built an entire industry around engagement metrics that may not align with user wellbeing. For tools that deal with mental health, productivity, or personal growth, "more usage